Top Healthtech Data & Analytics Jobs

Lead design and implementation of a scalable enterprise data warehouse: dimensional modeling, ETL/ELT pipelines, cloud data platforms, data governance, performance tuning, monitoring, and mentoring. Collaborate with stakeholders and engineering teams to enable analytics, ensure data quality and security, and support data science/ML workloads including feature engineering and NLP components.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

As a Senior Data Engineer at Nimble, you will own the data platform, build and optimize data pipelines, ensure data compliance, and mentor team members, while collaborating across departments to enhance data accessibility and usage.

Drive laboratory efficiency and profitability through data analysis, KPI dashboards, and continuous improvement. Partner with field and lab stakeholders to prioritize initiatives, provide reporting and strategic recommendations, coach operational teams, and support execution using PMO tools and Microsoft Office.

Build analytics infrastructure, pipelines, and dashboards to surface metrics from the matching pipeline. Design and implement new metrics and offline analysis tooling to assess product performance and improve algorithm quality, collaborating with engineering and business teams.

Build and maintain dbt models and core data marts in a cloud warehouse, ensure data quality and documentation, support BI dashboards and B2B client reporting, collaborate with data engineers on ingestion, and participate in CI/CD and governance practices.

Build end-to-end marketing performance tracking and measurement, collect and integrate datasets, analyze large media and marketing data, create and maintain dashboards in Looker Studio/Tableau/Power BI, automate recurring reports, partner with marketing and engineering, guide measurement strategy, and deliver actionable insights to optimize campaigns.

Build governed gold-layer data models and a single-source metrics layer in Snowflake (dbt); create and optimize dashboards in enterprise BI tools; use AI coding agents and AI-assisted tooling to accelerate development; ensure data quality, governance, and consistency; collaborate with data engineering and stakeholders to deliver trusted analytics for internal and client-facing use.

Support and maintain BI applications, troubleshoot issues, analyze user requirements to recommend reporting or application solutions, and design, build, test, and maintain reporting and data solutions.

Design, build, and optimize cloud-native batch and streaming data pipelines using Python and PySpark; lead SQL Server to PostgreSQL migrations; implement Terraform-managed AWS infrastructure; perform performance and cost optimization; develop data quality and monitoring frameworks; apply software engineering best practices and provide production support via an on-call rotation.